Book Chapters

• Linear Algebra and Applications
  Laurent El Ghaoui, Alicia Y. Tsai, and Giuseppe C. Calafiore. Pressbook, 2023

• Financial Data Science
  Giuseppe C. Calafiore, Laurent El Ghaoui, Giulia Fracastoro, and Alicia Y. Tsai. Cambridge University Press & Assessment, 2024

Publications

• PG-Story: Taxonomy, Dataset, and Evaluation in Ensuring Child-Safe Content for Story Generation
  Alicia Y. Tsai, Shereen Oraby, Anjali Narayan-Chen, Alessandra Cervone, Nanyun Peng, Spandana Gella, Tagyoung Chung, and Jing Huang
  Empirical Methods in Natural Language Processing (EMNLP) Workshop on NLP for Positive Impact, 2024
  Outstanding Paper Award

• Constrained Implicit Learning Framework for Neural Network Sparsification
  Alicia Y. Tsai, Wenzhi Gao, and Laurent El Ghaoui
  The Asian Conference on Machine Learning (ACML), 2024.
  Oral Presentation

• Leveraging LLM Reasoning Enhances Personalized Recommender Systems
  Alicia Y. Tsai, Adam Kraft, Long Jin, Chenwei Cai, Anahita Hosseini, Taibai Xu, Zemin Zhang, Lichan Hong, Ed H. Chi, Xinyang Yi
  Findings of the Association for Computational Linguistics (ACL), 2024

• The Extrapolation Power of Implicit Models
  Juliette Decugis, Max Franklin Emerling, Ashwin Ganesh, Alicia Y. Tsai, and Laurent El Ghaoui
  International Joint Conference on Artificial Intelligence (IJCAI) Workshop on Explainable Artificial Intelligence (XAI), 2024
  Oral Presentation

• On the Abilities of Mathematical Extrapolation with Implicit Models
  Juliette Decugis, Max Emerling, Ashwin Ganesh, Alicia Y. Tsai, Laurent El Ghaoui
  Neural Information Processing Systems (NeurIPS) Workshop on Distribution Shifts: Connecting Methods and Applications, 2022

• Style Control for Schema-Guided Natural Language Generation
  Alicia Y. Tsai, Shereen Oraby, Vittorio Perera, Jiun-Yu Kao, Yuheng Du, Anjali Narayan-Chen, Tagyoung Chung, Dilek Hakkani-Tur
  Empirical Methods in Natural Language Processing (EMNLP) Workshop on Natural Language Processing for Conversational AI, 2021

• Implicit Deep Learning
  Laurent El Ghaoui, Fangda Gu, Bertrand Travacca, Armin Askari, Alicia Y. Tsai
  SIAM Journal on Mathematics of Data Science Vol. 3, No. 3, pp. 930-958. 2021

• Text Analytics for Resilience-Enabled Extreme Events Reconnaissance
  Alicia Y. Tsai, Selim Günay, Minjune Hwang, Chenglong Li, Pengyuan Zhai, Laurent El Ghaoui, Khalid M. Mosalam
  Neural Information Processing Systems (NeurIPS) Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response, 2020

• Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm
  Alicia Y. Tsai, Laurent El Ghaoui
  Empirical Methods in Natural Language Processing (EMNLP) Workshop on Simple and Efficient Natural Language Processing, 2020

• Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization
  Geoffrey Negiar, Gideon Dresdner, Alicia Yi-Ting Tsai, Laurent El Ghaoui, Francesco Locatello, Robert M. Freund, Fabian Pedregosa
  International Conference on Machine Learning (ICML), 2020

• Building Resilience Through Structural Health Monitoring and Reconnaissance
  Khalid M. Mosalam, Sifat Muin, Selim Günay, Alicia Y. Tsai, Minjune Hwang, Chenglong Li, Jiang Lian, and Laurent El Ghaoui
  ​World Conference on Earthquake Engineering (WCEE), 2020

• Adversarial Attack on Sentiment Classification
  Yi-Ting Tsai, Min-Chu Yang, Han-Yu Chen
  Association for Computational Linguistics (ACL) Workshop on BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019

• Multimodal Data Analytics for Nuclear Facility Monitoring​
  Bethany L. Goldblum, Christopher L. Stewart, Yi-Ting Alicia Tsai, Austin Wright
  The Institute of Nuclear Materials Management (INMM) Annual Meeting, 2019

• ​A Cross-Domain Recommender System Based on Common-Sense Knowledge Bases​
  Yi-Ting Tsai, Chih-Shiang Wuy, Hsiang-Ling Hsuy, Tenniel Liuy, Pei-Lin Cheny, Wen-Hao Chen, Keng-Te Liao
  ​Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2017

Reports

• StEER - 07 Jan. 2020 Puerto Rico Mw6.4 Earthquake: Preliminary Virtual Reconnaissance Report (PVRR)
  Miranda, Eduardo; Acosta Vera, Andres; Aponte, Luis; Archbold, Jorge; Cortes, Maria; Du, Ao; Gunay, Selim; Hassan, Wael; Heresi, Pablo; Lamela, Ana; Messina, Armando; Miranda, Sebastian; Padgett, Jamie; Poulos, Alan; Scagliotti, Giulia; Tsai, Alicia; Kijewski-Correa, Tracy; Robertson, Ian; Mosalam, Khalid; Prevatt, David; Roueche, David

• StEER - 15 December 2019 Earthquake in the Philippines: Event Briefing
  Gunay, Selim; Archbold, Jorge; Hu, Fan; Tsai, Alicia; Mosalam, Khalid; Kijewski-Correa, Tracy; Robertson, Ian; Prevatt, David; Roueche, David

• StEER - 26 November, 2019 Albania, Mw 6.4 Earthquake: Event Briefing
  Tsai, Alicia; Hu, Fan; Gunay, Selim; Mosalam, Khalid; Kijewski-Correa, Tracy; Robertson, Ian; Prevatt, David; Roueche, David

Patents

• MIMOSAS: Multimodal Input Model Output Security Analysis Suite
  Zhao, Jared; Stewart, Christopher; Goldblum, Bethany; Tsai, Alicia; Chockkalingam, Shruthi; Valdez, Pedro
  ​University of California, Berkeley, 2019

Presentations

• Deep Implicit Time Series Modeling for Earthquake Phase Picking on Edge Devices
  Seismological Society of America Annual Meeting, May 2024

• State-driven Implicit Modeling
  Third Workshop on Seeking Low‑Dimensionality in Deep Neural Networks, Jan. 2023

• Implicit Deep Learning
  VinAI Research Seminar, Dec. 2022

• Implicit Deep Learning
  College of Engineering and Computer Science, VinUniversity, Nov. 2022

• Big Data Ethics and Responsible AI
  Invited Lecture for The Last Humans and Earth: Identifying Crisis in Sustainability, Taipei Medical University, Apr. 2022

• Returning to Foster Care: Revisited with Computational Text Analysis
  UC Berkeley D-Lab Computational Text Analysis Working Group, May 2021

• Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm
  West Coast NLP (WeCNLP) Summit, Oct. 2020

• Robustness Analysis of Deep Learning via Implicit Models
  Bay Area Machine Learning (BayLearn) Symposium, Oct. 2020

• Natural Language Processing and Text Analytics for Earthquake Reconnaissance
  The Pacific Earthquake Engineering Research (PEER) Annual Meeting, Jan. 2020

• Adversarial Attack on Sentiment Classification
  Widening Natural Language Processing (WiNLP) Workshop, ACL, Jul. 2019

• Diversity & Inclusion for Data Science in Taiwan​
  Bay Area and Taiwan Data Science Meetups, 2018